Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Atrial Fibrillation (AF) is a kind of arrhythmia, which is a major morbidity factor, and AF can lead...
Existing assessment pathways for acute chest pain are often resource-intensive, prolonged, and expen...
To investigate the feasibility, safety and efficacy of transoral robotic surgery (TORS) in the trea...
PURPOSE: To investigate the feasibility of continuing aspirin therapy in patients with renal tumours...
Electrocardiogram (ECG) can visually reflect the physiological electrical activity of human heart, w...
The diagnosis of hypertrophic cardiomyopathy (HCM) is of great significance for the early risk class...
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and continuously im...
INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) ...
Robotic percutaneous coronary intervention (R-PCI) is an emerging technology designed to improve ope...
A software platform for AI-ECG algorithm research is designed and implemented to better serve the re...
Percutaneous coronary intervention (PCI) has gradually become the most common treatment of coronary ...
The majority of studies for automatic epileptic seizure (ictal) detection are based on electroenceph...
ECGs analysis is an important tool in cardiac diagnosis. ECG data also have the potential to be used...
Photoplethysmography (PPG) is an important signal which contains much physiological information like...
Electrocardiography is a very common, non-invasive diagnostic procedure and its interpretation is in...
Electrocardiogram (ECG) signal is one of the most important methods for diagnosing cardiovascular di...
Cardiovascular disease (CVD) is a serial of diseases with global leading causes of death. Electrocar...
Electrocardiogram (ECG)-based identification systems have been widely studied in the literature. Usu...
BACKGROUND: Delayed diagnosis or misdiagnosis of acute myocardial infarction (AMI) is not unusual in...
AIMS: Congenital long-QT syndromes (cLQTS) or drug-induced long-QT syndromes (diLQTS) can cause tors...
OBJECTIVES: Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) pre...